Sledování pohybu a změny výrazu obličeje v obrazech
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Vysoká škola báňská - Technická univerzita Ostrava
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Abstract
The aim of this thesis was to get familiar with face detection and analysis methods and to utilize
gained information and available libraries for implementation of face movement and expression
tracking. The libraries used in the suggested solution were OpenCV and dlib. The substantial
part of the implementation is facial landmark detection and analysis used for Ąnding out the
head pose, which is then used for mouse movement controlling via head rotation.
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face detection, facial landmarks, Histogram of Oriented Gradient, head pose, Haar features, OpenCV, dlib